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Predicting Difficulty and Discrimination of Natural Language Questions (2022.acl-short)
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| Challenge: | Item Response Theory (IRT) has been used to numerically characterize question difficulty and discrimination for human subjects in domains including cognitive psychology and education. |
| Approach: | They explore the relationship between difficulty and discrimination in question-answering contexts by using IRT to characterize item difficulty and item discrimination. |
| Outcome: | The proposed models can predict difficulty and discrimination parameters for new questions and explain them with features of questions, answers, and associated contexts. |